Learning to rank quantum circuits for hardware-optimized performance enhancement
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https://zenodo.org/record/14037433
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资源简介:
These data were used in the work described in the manuscript Learning to rank quantum circuits for hardware-optimized performance enhancement, https://arxiv.org/abs/2411.03302.
Data was collected throughout a 9 month period. The data for each individual collection run is stored in a separate directory, for example ibmq_guadalupe_2022_11_22_14_49_51.
The jobs.pkl file is a pickled dictionary that contains essentially all of the relevant data. Note that the dictionary includes Qiskit QuantumCircuit objects created with an older version of Qiskit, and as such an older Qiskit version must be used to load these files (version 0.43.0 works).
The keys are integers indexing the circuit (0, 1, ..., n-1)
The values are themselves dictionaries containing various data fields:
'initial_circuit': the initial circuit, before transpilation or layout selection
'num_qubits': the number of qubits used in the circuit
'circuit_type': a string denoting the type of circuit (qaoa, bv, inv_qft, or clifford)
'seed_compiler': the compiler PRNG seed
'target_state': the target state for so-called one-hot or deterministic circuits
'target_state_bin': the target state represented in binary
'transpiled circuit': the transpiled circuit
'deflated circuit': the deflated transpiled circuit (unused qubits are dropped)
'layouts': a list of layouts (each represented by a list), determining the subgraph isomorphism
'mm transpiled circuits (no dd)': the set of transpiled layouts (without dynamical decoupling)
'mm transpiled circuits (dd)': the set of transpiled layouts (with dynamical decoupling)
'job success': whether the job succeeded (True or False)
'success fraction': the Hellinger fidelity, which equals success probability for one-hot circuits
'mm fidelity': the Mapomatic score
'T1 times': the single-qubit idle times
'T1 fidelity': the T1 score
'zz phases': the set of ZZ phase accumulations for two-qubit mutually-idle periods
'zz fidelity': the ZZ fidelity
创建时间:
2024-11-07



